Abstract: Various embodiments set forth systems and techniques for training a landmark model. The techniques include determining, using the landmark model, a first landmark in a set of first landmarks associated with a first image; performing, on the first image, a first perturbation to obtain a second image; determining, using the landmark model, a second landmark in a set of second landmarks associated with the second image; determining, based on a first distance between the first landmark and the second landmark, a first loss function; and updating, based on the first loss function, a first parameter of the landmark model.

Abstract: A system includes a machine learning (ML) model-based video downsampler configured to receive an input video sequence having a first display resolution, and to map the input video sequence to a lower resolution video sequence having a second display resolution lower than the first display resolution. The system also includes a neural network-based (NN-based) proxy video codec configured to transform the lower resolution video sequence into a decoded proxy bitstream. In addition, the system includes an upsampler configured to produce an output video sequence using the decoded proxy bitstream.

Abstract: The present invention relates to a medical device, in particular a device for extracorporeal blood treatment, having an output unit for outputting system sounds for communication with a user, wherein the output unit is additionally adapted to transmit message sounds for communication with at least one other apparatus.

Abstract: A gray zone prevention circuit includes: a first gain stage circuit including a first input terminal and a first output terminal, the first gain stage circuit amplifies a feedback signal received at the first input terminal and generates an amplified signal at the first output terminal; a second gain stage circuit including a terminal that is coupled to the first output terminal for receiving the amplified signal and a second output terminal, where the second gain stage circuit is configured to generate a monitored signal based on the amplified signal; a feedback circuit coupled between the second output terminal and the first input terminal and configured to convert the monitored signal into the feedback signal; and a comparator circuit including a monitoring node coupled to the first output terminal for receiving the amplified signal, wherein the comparator circuit is configured to monitor the monitored signal indirectly via the amplified signal.

Abstract: Systems and methods are disclosed for compressing a target video. A computer-implemented method may use a computer system that include one or more physical computer processors and non-transient electronic storage. The computer-implemented method may include: obtaining the target video, extracting one or more frames from the target video, and generating an estimated optical flow based on a displacement of pixels between the one or more frames. The one or more frames may include one or more of a key frame and a target frame.

Abstract: A system includes a computing platform having a hardware processor, and a system memory storing a software code and a content labeling predictive model. The hardware processor is configured to execute the software code to scan a database to identify content assets stored in the database, parse metadata stored in the database to identify labels associated with the content assets, and generate a graph by creating multiple first links linking each of the content assets to its corresponding label or labels. The hardware processor is configured to further execute the software code to train, using the graph, the content labeling predictive model, to identify, using the trained content labeling predictive model, multiple second links among the content assets and the labels, and to annotate the content assets based on the second links.

Abstract: A method for determining a protection zone with a protection radius about a wireless communication object transponder, wherein the method includes a) ascertaining a first indefinite position of the object transponder using a first locating system, b) ascertaining at least two definite anchor object distances between the object transponder and at least two anchor gateways with respective known positions via a definite distance measuring device using a two-way ranging method, and c) ascertaining the protection radius using a failsafe computing device which receives the first indefinite position from the first locating system and the at least two definite anchor object distances from the distance measuring device and determines the protection radius therefrom using the known positions of the at least two anchor gateways.

Abstract: According to one implementation, a system for performing re-noising and neural network (NN) based image enhancement includes a computing platform having a processing hardware and a system memory storing a software code, a noise synthesizer, and an image restoration NN. The processing hardware is configured to execute the software code to receive a denoised image component and a noise component extracted from a degraded image, to generate, using the noise synthesizer and the noise component, synthesized noise corresponding to the noise component, and to interpolate, using the noise component and the synthesized noise, an output image noise. The processing hardware is further configured to execute the software code to enhance, using the image restoration NN, the denoised image component to provide an output image component, and to re-noise the output image component, using the output image noise, to produce an enhanced output image corresponding to the degraded image.

Abstract: An endoscope assembly has an endoscope, having an optical waveguide and having an image guide, wherein the image guide is configured to be uninterrupted up to its proximal end and has an image guide interface at its proximal end for optical connection to an image capturing unit, an illumination unit having a light source and having an optical waveguide interface for optical connection of the light source to an optical waveguide, and an image capturing unit having an image sensor and having an image guide interface for optical connection of the image sensor to an image guide.

Abstract: A method for determining a definite safe distance between a wirelessly communicating object transponder and at least one anchor gateway in accordance with a two-way ranging method, wherein transmission and reception timestamps are detected for each communication message via the transponder and the at least one anchor gateway, each of the timestamps from the transponder and the at least one anchor gateway together with at least one respective piece of timestamp monitoring information are transmitted to a failsafe computing device, at least one check is implemented via the failsafe computing device, and the definite safe distance is determined via the failsafe computing device aided by the checked timestamps, where timestamp errors occurring during the detection of the timestamps are caused solely by the transponder or alternatively solely the one anchor gateway.

Abstract: A pressure measuring line with a connector can be used to connect the pressure measuring line to a blood treatment apparatus, and to a membrane. In some embodiments, the pressure measuring line comprises at least two consecutive lumen sections, namely the first lumen section and the second lumen section. The first lumen section can include a first lumen geometry and the second lumen section can include a second lumen geometry. The first lumen geometry and the second lumen geometry can differ from each other in at least their diameters. Further, a monitoring method and devices can be used in conjunction with the pressure measuring lines.

Abstract: One embodiment of the present invention sets forth a technique for performing deinterlacing. The technique includes separating a first interlaced video frame into a first sequence of fields ordered by time, the first sequence of fields including a first field. The technique also includes generating, by applying a deinterlacing network to a first field in the first sequence, a second field that is missing from the first sequence of fields and is complementary to the first field. The technique further includes constructing a progressive video frame based on the first field and the second field.

Abstract: Techniques are disclosed for changing the identities of faces in images. In embodiments, a tunable model for changing facial identities in images includes an encoder, a decoder, and dense layers that generate either adaptive instance normalization (AdaIN) coefficients that control the operation of convolution layers in the decoder or the values of weights within such convolution layers, allowing the model to change the identity of a face in an image based on a user selection. A separate set of dense layers may be trained to generate AdaIN coefficients for each of a number of facial identities, and the AdaIN coefficients output by different sets of dense layers can be combined to interpolate between facial identities. Alternatively, a single set of dense layers may be trained to take as input an identity vector and output AdaIN coefficients or values of weighs within convolution layers of the decoder.

Abstract: For simplified, less computationally intensive, image recording of different spectral signal components using a plurality of color channels of a single image sensor, a targeted adjustment of a sensitivity of at least one of the color channels in relation to another one of the color channels of the image sensor is provided for a spectral separation of this reduced or adjusted color channel from the other color channel so that at least one certain spectral range (i.e., in particular a part of a first spectral range captured using the other color channel) is no longer detectable using the color channel that has been adjusted in terms of its sensitivity. This adjusted color channel becomes spectrally blind in the spectral range and can consequently spectrally selectively detect a further spectral range (specifically a second spectral range deviating from the first spectral range). The second spectral range may include a fluorescence wavelength.

Abstract: Flexible BMG elements and methods for making the flexible BMG elements. The BMG element contains a main body made from a BMG material and may further contain a flange. The main body may contain at least one opening. The main body may be a thin-walled structure that is compressible, extendable, and/or bendable. A surface of the main body may be corrugated with a series of ridges and furrows.

Abstract: In order to improve imaging, in particular for low light intensities, an image recording device, in particular formed as an endoscope, is proposed, which comprises a single photon sensitive detector (SPSD) in addition to an image sensor, which uses photodiodes as light-sensitive cells, in order to respectively detect light from a common object area. With the help of the SPSD, additional image information can be obtained from the object area, to improve the image data recorded with the image sensor or to enhance it with additional image information, in particular with regard to a further spectral range, which is captured with the SPSD.

Abstract: A system includes a computing platform having a hardware processor and a memory storing a software code and a neural network (NN) having multiple layers including a last activation layer and a loss layer. The hardware processor executes the software code to identify different combinations of layers for testing the NN, each combination including candidate function(s) for the last activation layer and candidate function(s) for the loss layer. For each different combination, the software code configures the NN based on the combination, inputs, into the configured NN, a training dataset including multiple data objects, receives, from the configured NN, a classification of the data objects, and generates a performance assessment for the combination based on the classification. The software code determines a preferred combination of layers for the NN including selected candidate functions for the last activation layer and the loss layer, based on a comparison of the performance assessments.

Abstract: The present disclosure relates to a test device to be inserted into the syringe receptacle of a pump, for example for a blood treatment apparatus, for testing at least one function of the pump and/or of the blood treatment apparatus. The test device includes a holding device for releasably holding the test device on the housing of the blood treatment apparatus. In addition, the test device includes at least one movable actuator and at least one electric motor arranged to directly or indirectly move said movable actuator or a section thereof.

Abstract: The present disclosure relates to a bag holder for receiving a first effluent bag, which serves for receiving effluent resulting from a blood treatment being performed by a blood treatment apparatus and includes at least one closable effluent outlet opening and at least one effluent inlet opening. The bag holder includes one or several rollers for rolling the bag holder and at least one of the following features: a holding device for holding the first effluent bag in the bag holder, a receptacle for receiving the first effluent bag or a section thereof, a pump section for conveying effluent out of first effluent bag being received in the bag holder, at least one effluent outlet line for guiding effluent towards the pump section and/or out of the first effluent bag and/or at least one basin line for guiding effluent into the first effluent bag and/or away from the bag holder.